Characterization of the temporal dynamics of blood methylation changes in young adults following asymptomatic and mild SARS-CoV-2 infection brings insights into the long-term memory of environmental exposure and potential disease associations.

A novel approach is proposed to study the functional relationships between two critical mechanisms in cell signaling: PTMs and complex formation. This proteomic workflow is applied to investigate YAP1, a major signal integrator and effector of the Hippo pathway.

Clustering is combined with machine-learning to identify large modules of co-regulated proteins in the human proteome. A simple web-based implementation of the workflow allows users to search for additional co-regulation modules.

Tracking and modelling single-cell resuscitation dynamics of bacterial persisters shows that it is a drug-dependent and non-stochastic process. Persisters can partition cellular damage into healthy and nonviable daughter cells after antibiotic treatment.

A combined computational modeling and experimental approach is used to dissect a Golgi-localized GTPase circuitry in eukaryotes and to understand how it empowers cancer cells to achieve self-sufficiency in growth factor signaling.

iLC858 is the first constructed and validated genome-scale metabolic model for the fast-growing bacterium Vibrio natriegens. This new model enabled the study of V. natriegens metabolism, halophilic adaptions, and resource analysis.

An integrative approach using crosslinking mass spectrometry (MS), co-fractionation MS, and AlphaFold-Multimer discovers novel protein complexes and their topologies in the model Gram-positive bacterium Bacillus subtillis.